Iacopo Iacopini
Iacopo Iacopini
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Distinguishing mechanisms of social contagion from local network view
The adoption of individual behavioural patterns is largely determined by stimuli arriving from peers via social interactions or from …
E. Andres
,
G. Odor
,
Iacopo Iacopini
,
M. Karsai
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The dynamics of higher-order novelties
Studying how we explore the world in search of novelties is key to understand the mechanisms that can lead to new discoveries. Previous …
G. Di Bona
,
A. Bellina
,
G. De Marzo
,
A. Petralia
,
Iacopo Iacopini
,
V. Latora
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The temporal dynamics of group interactions in higher-order social networks
Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing …
Iacopo Iacopini
,
M. Karsai
,
A. Barrat
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The structural evolution of temporal hypergraphs through the lens of hyper-cores
The richness of many complex systems stems from the interactions among their components. The higher-order nature of these interactions, …
M. Mancastroppa
,
Iacopo Iacopini
,
G. Petri
,
A. Barrat
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Not your private tête-à-tête: leveraging the power of higher-order networks to study animal communication
Animal communication is frequently studied with conventional network representations that link pairs of individuals who interact, for …
Iacopo Iacopini
,
J. R. Foote
,
N. H. Fefferman
,
E. P. Derryberry
,
M. J. Silk
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Insights from exact social contagion dynamics on networks with higher-order structures
Recently, there has been an increasing interest in studying dynamical processes on networks exhibiting higher-order structures, such as …
I. Z. Kiss
,
Iacopo Iacopini
,
P. L. Simon
,
N. Georgiou
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Hyper-cores promote localization and efficient seeding in higher-order processes
Going beyond networks, to include higher-order interactions of arbitrary sizes, is a major step to better describe complex systems. In …
M. Mancastroppa
,
Iacopo Iacopini
,
G. Petri
,
A. Barrat
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XGI: A Python package for higher-order interaction networks
CompleX Group Interactions (XGI) is a library for analyzing higher-order networks. Such networks are used to model interactions of …
N. W. Landry
,
M. Lucas
,
Iacopo Iacopini
,
G. Petri
,
A. Schwarze
,
A. Patania
,
L. Torres
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Simplicially driven simple contagion
Single contagion processes are known to display a continuous transition from an epidemic-free state to an epidemic one, for contagion …
M. Lucas
,
Iacopo Iacopini
,
T. Robiglio
,
A. Barrat
,
G. Petri
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Quantifying human performance in chess
From sports to science, the recent availability of large-scale data has allowed to gain insights on the drivers of human innovation and …
S. Chowdhary
,
Iacopo Iacopini
,
F. Battiston
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